loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1
loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1
------------------------ arguments ------------------------
  batch_size ...................................... 512
  batch_size_per_proc ............................. 512
  data_dir ........................................ /dataset/f9f659c5/wdl_ofrecord
  data_part_name_suffix_length .................... 5
  data_part_num ................................... 256
  dataset_format .................................. ofrecord
  ddp ............................................. True
  deep_dropout_rate ............................... 0.5
  deep_embedding_vec_size ......................... 16
  deep_vocab_size ................................. 2322444
  eval_after_training ............................. False
  eval_batchs ..................................... 20
  eval_interval ................................... 0
  execution_mode .................................. eager
  hidden_size ..................................... 1024
  hidden_units_num ................................ 2
  learning_rate ................................... 0.001
  loss_print_every_n_iter ......................... 100
  max_iter ........................................ 1100
  model_load_dir .................................. 
  model_save_dir .................................. ./checkpoint
  num_deep_sparse_fields .......................... 26
  num_dense_fields ................................ 13
  num_wide_sparse_fields .......................... 2
  save_initial_model .............................. False
  save_model_after_each_eval ...................... False
  test_name ....................................... noname_test
  wide_vocab_size ................................. 2322444
-------------------- end of arguments ---------------------
[rank:0] iter: 100/1100, loss: 0.5257340669631958, latency(ms): 43.8943701609969139 | 2022-04-13 01:48:03.324
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/13 01:48:03.355, Tesla V100-SXM2-32GB, 470.57.02, 93 %, 92 %, 32510 MiB, 30746 MiB, 1764 MiB
[rank:0] iter: 200/1100, loss: 0.4990679919719696, latency(ms): 4.3409426137804985 | 2022-04-13 01:48:03.758
[rank:0] iter: 300/1100, loss: 0.4955892264842987, latency(ms): 4.0767244249582291 | 2022-04-13 01:48:04.166
[rank:0] iter: 400/1100, loss: 0.4908937811851501, latency(ms): 4.0519263967871666 | 2022-04-13 01:48:04.571
[rank:0] iter: 500/1100, loss: 0.4927001893520355, latency(ms): 4.0757676213979721 | 2022-04-13 01:48:04.978
[rank:0] iter: 600/1100, loss: 0.4819268882274628, latency(ms): 4.1747263818979263 | 2022-04-13 01:48:05.396
[rank:0] iter: 700/1100, loss: 0.4858486950397491, latency(ms): 4.1586063802242279 | 2022-04-13 01:48:05.812
[rank:0] iter: 800/1100, loss: 0.4869281053543091, latency(ms): 4.2820462957024574 | 2022-04-13 01:48:06.240
[rank:0] iter: 900/1100, loss: 0.4848875701427460, latency(ms): 4.1096781566739082 | 2022-04-13 01:48:06.651
[rank:0] iter: 1000/1100, loss: 0.4819636642932892, latency(ms): 4.1680233180522919 | 2022-04-13 01:48:07.068
[rank:0] iter: 1100/1100, loss: 0.4840159714221954, latency(ms): 4.1857663169503212 | 2022-04-13 01:48:07.486